CI-P: Towards the Creation of a Unified Repository for MultiLingual and CrossLingual Multiword Expressions

CI-P：为多语言和跨语言多词表达式创建统一存储库

• 批准号: 1513116
• 负责人: Mona Diab
• 金额: $ 10万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1513116&HistoricalAwards=false
• 关键词: CI; Towards; Creation; Unified; Repository

Single concepts that cross word boundaries, such as kick the bucket and traffic light, are typically referred to as multiword expressions (MWE). MWE usage is pervasive in natural languages. MWEs pose a significant challenge from a processing perspective. Explicitly identifying, classifying, and modeling MWEs in text is shown to improve NLP technologies. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different languages (Arabic, Chinese, English, Spanish, Persian), genres and domains while adding contextual references and links to existing lexical resources. Understanding the space of MWE across different languages will have a significant impact on multilingual and cross-lingual NLP applications as well as studies in Linguistics in general. Such a large-scale resource will provide for a disciplined investigation into language universals and language-specific studies by adding insights into shared and varying cultural and language concepts as grounds for extensive typological and etymological studies of how concepts are formed across peoples. Multiword Expressions (MWE) occupy a significant portion of the semantic space. With deeper understanding of MWE, their nature, behavior and usage, natural language processing (NLP) practitioners can build more robust systems to achieve the goal of Natural Language Understanding (NLU). Looking at a diverse set of languages simultaneously would lead to more insights into language universals and language specific phenomena having profound impact in how we design overall natural language solutions. The objective of this proposal is to conduct exploratory research and build consensus towards the creation of a Unified Repository for Multilingual and Cross-lingual MWE cutting across different genres and domains while adding contextual references and links to existing lexical resources such as WordNet. The vision is for a repository that is consistently annotated with links across 5 different languages: Arabic, Chinese, English, Spanish, and Persian. This grant will support the following: i) investigating universal linguistic information that is common across MWEs in various languages as well as identifying differentiating features that are language-specific or found in typologically related languages; ii) conducting pilot annotation studies on essential annotation tasks; iii) building the basic infrastructure for harvesting, storing, and annotating the data; iv) developing tools to bootstrap the envisioned resource from existing resources; and, v) Organizing two 2-day workshops to gather input from leading researchers in the field and to build consensus on key issues for such a resource.

跨字边界的单个概念（例如踢桶和交通信号灯）通常称为多字表达式（MWE）。 MWE的使用在自然语言中无处不在。从处理的角度来看，MWE构成了重大挑战。在文本中明确识别，分类和建模MWE被证明可以改善NLP技术。 该提案的目的是进行探索性研究，并建立共识，以创建一个统一的存储库，用于跨不同语言（阿拉伯语，中文，英语，西班牙语，波斯语），类型和领域的多种语言和跨语性MWE削减，同时添加上下文参考和链接到现有的词汇资源。了解跨不同语言的MWE的空间将对多语言和跨语性NLP应用以及一般语言学研究产生重大影响。这样的大规模资源将通过将共享和改变文化和语言概念的见解作为对跨民族概念如何形成概念的广泛类型学和词源研究的基础，从而为语言普遍性和语言特定研究提供纪律研究。多字表达式（MWE）占据着语义空间的很大一部分。有了更深入的了解MWE，其性质，行为和用法，自然语言处理（NLP）从业人员可以建立更强大的系统以实现自然语言理解的目标（NLU）。同时研究各种语言将导致对语言普遍性和语言特定现象的更多见解，对我们设计整体自然语言解决方案产生深远影响。该提案的目的是进行探索性研究，并建立共识，以创建一个统一的存储库，用于跨不同类型和领域的多语言和跨语性MWE切割，同时添加上下文参考和与WordNet等现有词汇资源的联系。愿景是针对一个始终用跨5种不同语言的链接的存储库：阿拉伯语，中文，英语，西班牙语和波斯语。 该赠款将支持以下内容：i）调查在MWE中使用各种语言中常见的通用语言信息，并识别具有特定语言或类型与类型的语言的不同特征； ii）对基本注释任务进行试点注释研究； iii）建立用于收集，存储和注释数据的基本基础设施； iv）开发工具来引导现有资源中设想的资源； v）组织两个为期2天的研讨会，以收集该领域的主要研究人员的意见，并就此类资源的关键问题建立共识。